@@ -64,7 +64,7 @@ paddle.fluid.layers.chunk_eval ArgSpec(args=['input', 'label', 'chunk_scheme', '
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paddle .fluid .layers .sequence_conv ArgSpec (args = ['input' , 'num_filters' , 'filter_size' , 'filter_stride' , 'padding' , 'bias_attr' , 'param_attr' , 'act' , 'name' ], varargs = None , keywords = None , defaults = (3 , 1 , None , None , None , None , None ))
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paddle .fluid .layers .conv2d ArgSpec (args = ['input' , 'num_filters' , 'filter_size' , 'stride' , 'padding' , 'dilation' , 'groups' , 'param_attr' , 'bias_attr' , 'use_cudnn' , 'act' , 'name' ], varargs = None , keywords = None , defaults = (1 , 0 , 1 , None , None , None , True , None , None ))
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paddle .fluid .layers .conv3d ArgSpec (args = ['input' , 'num_filters' , 'filter_size' , 'stride' , 'padding' , 'dilation' , 'groups' , 'param_attr' , 'bias_attr' , 'use_cudnn' , 'act' , 'name' ], varargs = None , keywords = None , defaults = (1 , 0 , 1 , None , None , None , True , None , None ))
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- paddle .fluid .layers .sequence_pool ArgSpec (args = ['input' , 'pool_type' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .layers .sequence_pool ArgSpec (args = ['input' , 'pool_type' , 'is_test' ], varargs = None , keywords = None , defaults = ( False ,) )
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paddle .fluid .layers .sequence_softmax ArgSpec (args = ['input' , 'use_cudnn' , 'name' ], varargs = None , keywords = None , defaults = (False , None ))
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paddle .fluid .layers .softmax ArgSpec (args = ['input' , 'use_cudnn' , 'name' ], varargs = None , keywords = None , defaults = (True , None ))
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paddle .fluid .layers .pool2d ArgSpec (args = ['input' , 'pool_size' , 'pool_type' , 'pool_stride' , 'pool_padding' , 'global_pooling' , 'use_cudnn' , 'ceil_mode' , 'name' ], varargs = None , keywords = None , defaults = (- 1 , 'max' , 1 , 0 , False , True , False , None ))
@@ -86,7 +86,7 @@ paddle.fluid.layers.reduce_prod ArgSpec(args=['input', 'dim', 'keep_dim', 'name'
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paddle .fluid .layers .sequence_first_step ArgSpec (args = ['input' ], varargs = None , keywords = None , defaults = None )
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paddle .fluid .layers .sequence_last_step ArgSpec (args = ['input' ], varargs = None , keywords = None , defaults = None )
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paddle .fluid .layers .sequence_slice ArgSpec (args = ['input' , 'offset' , 'length' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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- paddle .fluid .layers .dropout ArgSpec (args = ['x' , 'dropout_prob' , 'is_test' , 'seed' , 'name' ], varargs = None , keywords = None , defaults = (False , None , None ))
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+ paddle .fluid .layers .dropout ArgSpec (args = ['x' , 'dropout_prob' , 'is_test' , 'seed' , 'name' , 'dropout_implementation' ], varargs = None , keywords = None , defaults = (False , None , None , 'downgrade_in_infer' ))
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paddle .fluid .layers .split ArgSpec (args = ['input' , 'num_or_sections' , 'dim' , 'name' ], varargs = None , keywords = None , defaults = (- 1 , None ))
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paddle .fluid .layers .ctc_greedy_decoder ArgSpec (args = ['input' , 'blank' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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paddle .fluid .layers .edit_distance ArgSpec (args = ['input' , 'label' , 'normalized' , 'ignored_tokens' ], varargs = None , keywords = None , defaults = (True , None ))
@@ -103,11 +103,11 @@ paddle.fluid.layers.beam_search ArgSpec(args=['pre_ids', 'pre_scores', 'ids', 's
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paddle .fluid .layers .row_conv ArgSpec (args = ['input' , 'future_context_size' , 'param_attr' , 'act' ], varargs = None , keywords = None , defaults = (None , None ))
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paddle .fluid .layers .multiplex ArgSpec (args = ['inputs' , 'index' ], varargs = None , keywords = None , defaults = None )
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paddle .fluid .layers .layer_norm ArgSpec (args = ['input' , 'scale' , 'shift' , 'begin_norm_axis' , 'epsilon' , 'param_attr' , 'bias_attr' , 'act' , 'name' ], varargs = None , keywords = None , defaults = (True , True , 1 , 1e-05 , None , None , None , None ))
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- paddle .fluid .layers .softmax_with_cross_entropy ArgSpec (args = ['logits' , 'label' , 'soft_label' , 'ignore_index' ], varargs = None , keywords = None , defaults = (False , - 100 ))
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+ paddle .fluid .layers .softmax_with_cross_entropy ArgSpec (args = ['logits' , 'label' , 'soft_label' , 'ignore_index' , 'numeric_stable_mode' ], varargs = None , keywords = None , defaults = (False , - 100 , False ))
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paddle .fluid .layers .smooth_l1 ArgSpec (args = ['x' , 'y' , 'inside_weight' , 'outside_weight' , 'sigma' ], varargs = None , keywords = None , defaults = (None , None , None ))
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paddle .fluid .layers .one_hot ArgSpec (args = ['input' , 'depth' ], varargs = None , keywords = None , defaults = None )
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paddle .fluid .layers .autoincreased_step_counter ArgSpec (args = ['counter_name' , 'begin' , 'step' ], varargs = None , keywords = None , defaults = (None , 1 , 1 ))
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- paddle .fluid .layers .reshape ArgSpec (args = ['x' , 'shape' , 'actual_shape' , 'act' , 'inplace' , 'name' ], varargs = None , keywords = None , defaults = (None , None , True , None ))
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+ paddle .fluid .layers .reshape ArgSpec (args = ['x' , 'shape' , 'actual_shape' , 'act' , 'inplace' , 'name' ], varargs = None , keywords = None , defaults = (None , None , False , None ))
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paddle .fluid .layers .squeeze ArgSpec (args = ['input' , 'axes' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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paddle .fluid .layers .unsqueeze ArgSpec (args = ['input' , 'axes' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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paddle .fluid .layers .lod_reset ArgSpec (args = ['x' , 'y' , 'target_lod' ], varargs = None , keywords = None , defaults = (None , None ))
@@ -174,8 +174,12 @@ paddle.fluid.layers.mean ArgSpec(args=['x', 'name'], varargs=None, keywords=None
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paddle .fluid .layers .mul ArgSpec (args = ['x' , 'y' , 'x_num_col_dims' , 'y_num_col_dims' , 'name' ], varargs = None , keywords = None , defaults = (1 , 1 , None ))
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paddle .fluid .layers .sigmoid_cross_entropy_with_logits ArgSpec (args = ['x' , 'label' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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paddle .fluid .layers .maxout ArgSpec (args = ['x' , 'groups' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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+ paddle .fluid .layers .affine_grid ArgSpec (args = ['theta' , 'out_shape' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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+ paddle .fluid .layers .sequence_reverse ArgSpec (args = ['x' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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paddle .fluid .layers .affine_channel ArgSpec (args = ['x' , 'scale' , 'bias' , 'data_layout' , 'name' ], varargs = None , keywords = None , defaults = (None , None , 'NCHW' , None ))
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paddle .fluid .layers .hash ArgSpec (args = ['input' , 'hash_size' , 'num_hash' , 'name' ], varargs = None , keywords = None , defaults = (1 , None ))
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+ paddle .fluid .layers .log_loss ArgSpec (args = ['input' , 'label' , 'epsilon' , 'name' ], varargs = None , keywords = None , defaults = (0.0001 , None ))
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+ paddle .fluid .layers .add_position_encoding ArgSpec (args = ['input' , 'alpha' , 'beta' , 'name' ], varargs = None , keywords = None , defaults = (None ,))
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paddle .fluid .layers .data ArgSpec (args = ['name' , 'shape' , 'append_batch_size' , 'dtype' , 'lod_level' , 'type' , 'stop_gradient' ], varargs = None , keywords = None , defaults = (True , 'float32' , 0 , VarType .LOD_TENSOR , True ))
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paddle .fluid .layers .open_files ArgSpec (args = ['filenames' , 'shapes' , 'lod_levels' , 'dtypes' , 'thread_num' , 'buffer_size' , 'pass_num' , 'is_test' ], varargs = None , keywords = None , defaults = (None , None , 1 , None ))
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paddle .fluid .layers .read_file ArgSpec (args = ['reader' ], varargs = None , keywords = None , defaults = None )
@@ -354,6 +358,8 @@ paddle.fluid.optimizer.ModelAverage.__init__ ArgSpec(args=['self', 'average_wind
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paddle .fluid .optimizer .ModelAverage .apply ArgSpec (args = [], varargs = 'args' , keywords = 'kwds' , defaults = None )
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paddle .fluid .optimizer .ModelAverage .minimize ArgSpec (args = ['self' , 'loss' , 'startup_program' , 'parameter_list' , 'no_grad_set' ], varargs = None , keywords = None , defaults = (None , None , None ))
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paddle .fluid .optimizer .ModelAverage .restore ArgSpec (args = ['self' , 'executor' ], varargs = None , keywords = None , defaults = None )
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+ paddle .fluid .optimizer .LarsMomentumOptimizer .__init__ ArgSpec (args = ['self' , 'learning_rate' , 'momentum' , 'lars_coeff' , 'lars_weight_decay' , 'regularization' , 'name' ], varargs = None , keywords = None , defaults = (0.001 , 0.0005 , None , None ))
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+ paddle .fluid .optimizer .LarsMomentumOptimizer .minimize ArgSpec (args = ['self' , 'loss' , 'startup_program' , 'parameter_list' , 'no_grad_set' ], varargs = None , keywords = None , defaults = (None , None , None ))
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paddle .fluid .backward .append_backward ArgSpec (args = ['loss' , 'parameter_list' , 'no_grad_set' , 'callbacks' ], varargs = None , keywords = None , defaults = (None , None , None ))
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paddle .fluid .regularizer .L1DecayRegularizer .__init__ ArgSpec (args = ['self' , 'regularization_coeff' ], varargs = None , keywords = None , defaults = (0.0 ,))
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paddle .fluid .regularizer .L2DecayRegularizer .__init__ ArgSpec (args = ['self' , 'regularization_coeff' ], varargs = None , keywords = None , defaults = (0.0 ,))
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